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RoboSat: feature extraction from aerial and satellite imagery

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Re: RoboSat: feature extraction from aerial and satellite imagery

#3
post #2

Very cool! Does anyone know any good global free satellite imagery datasets?

Sure, the NOAA has extensive and freely available satellite imagery data: https://www.ncdc.noaa.gov/data-access/satellite-data/satelli...

NASA also releases satellite imagery for the public.

Re: RoboSat: feature extraction from aerial and satellite imagery

#4
post #2

Very cool! Does anyone know any good global free satellite imagery datasets?

Sentinel 2 data could be interesting for you. With its high refresh rate it can be used for change detection. The multi-band data is especially useful for adding more input channels to the model e.g. for water detection based on NDWI: https://apps.sentinel-hub.com/eo-browser/#lat=52.51747&lng=1...

I can also recommend http://openaerialmap.org for playing around with openly available drone imagery. I did this last week as a side-project on my evenings for drone imagery provided by http://www.zanzibarmapping.com. Here is a step-by-step guide for giving it a try on the Tanzania drone imagery: https://www.openstreetmap.org/user/daniel-j-h/diary/44321

Re: RoboSat: feature extraction from aerial and satellite imagery

#5
Daniel from Mapbox here. Happy to answer questions or talk through design decisions. Interested to hear your feedback.

We are mostly focusing on making the process accessible to a broader audience in the geo space, building a solid production-ready end-to-end project.

There are more resources and a step-by-step guide for running on openly available drone imagery in Tanzania:

https://www.openstreetmap.org/user/daniel-j-h/diary/44145 https://www.openstreetmap.org/user/daniel-j-h/diary/44321

Re: RoboSat: feature extraction from aerial and satellite imagery

#6
post #5

Daniel from Mapbox here. Happy to answer questions or talk through design decisions. Interested to hear your feedback. We are mostly focusing on making the process accessible to a broader audience in the geo space, building a solid production-ready end-to-end project. There are more resources and a step-by-step guide for running on openly available drone imagery in Tanzania: https://www.openstreetmap.org/user/daniel-…

Congratulation to you and the team. I have just one question in the world of tensorflowjs how do I run this project on a browser I was hoping to use this project to introduce high students to data science ?

Re: RoboSat: feature extraction from aerial and satellite imagery

#7
post #5

Daniel from Mapbox here. Happy to answer questions or talk through design decisions. Interested to hear your feedback. We are mostly focusing on making the process accessible to a broader audience in the geo space, building a solid production-ready end-to-end project. There are more resources and a step-by-step guide for running on openly available drone imagery in Tanzania: https://www.openstreetmap.org/user/daniel-…

Congratulation to you and the team. I have just one question in the world of tensorflowjs how do I run this project on a browser I was hoping to use this project to introduce high students to data science ?

I haven no experience with TensorFlow.js. That said, using the RoboSat ONNX model exporter (rs export) you should be able to go from a trained PyTorch model to a portable ONNX protobuf, then from there to a TensorFlow model, and eventually to TensorFlow.js. At least that's how I would approach it. Keep me posted if you look into it and get it working, interesting use-case for sure.

Re: RoboSat: feature extraction from aerial and satellite imagery

#8
post #5

Daniel from Mapbox here. Happy to answer questions or talk through design decisions. Interested to hear your feedback. We are mostly focusing on making the process accessible to a broader audience in the geo space, building a solid production-ready end-to-end project. There are more resources and a step-by-step guide for running on openly available drone imagery in Tanzania: https://www.openstreetmap.org/user/daniel-…

Would you be open to chatting over email? I'm working on a noncommercial software project with a lot of geospatial data and I think you (and more generally folks working at Mapbox) could provide useful technical insight. My email is in my profile if you're up for it :)

Re: RoboSat: feature extraction from aerial and satellite imagery

#10
Have you released pre-trained models?

It would be pretty useful if you did, even as a just basis for transfer learning.

Also a description of the model that is used? I assume this is the code[1], which references https://arxiv.org/abs/1806.00844, but the code doesn't seem to use WideResnet (although I really know Keras much better than PyTorch so I'm probably missing something.

[1] https://github.com/mapbox/robosat/blob/master/robosat/unet.p...

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